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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. Which best practices help enhance database security when building Python data analysis pipelines?
(Choose two)
A) Construct queries using f-strings for readability
B) Sanitize input by replacing dangerous characters with asterisks
C) Limit database user permissions to only necessary operations
D) Store credentials securely using environment variables
2. What does a Pearson correlation coefficient value of -0.9 imply about the relationship between two numerical variables?
A) A strong negative linear relationship
B) A moderate non-linear association
C) No correlation
D) A weak positive relationship
3. What result will the following Pandas expression return: df['Age'].notnull().all()?
A) Returns True if all values in 'Age' are not NULL
B) Returns True if all values in 'Age' are NULL
C) Returns True if at least one value in 'Age' is not NULL
D) Returns the number of NULL values in 'Age'
4. Which element is essential to justify a conclusion drawn from a dataset?
A) The use of color in plots
B) The origin of the dataset
C) Logical reasoning and supported metrics
D) File format of the source data
5. Which type of regression is most appropriate when the response variable is categorical, such as predicting customer churn (Yes/No)?
A) Polynomial regression
B) Linear regression
C) Decision tree regression
D) Logistic regression
Solutions:
| Question # 1 Answer: C,D | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: D |






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